published Published 20 days ago
PyDTS: A Python Package for Discrete-Time Survival Analysis with Competing Risks and Optional Penalization
Python
published Published 6 months ago
bbousuite: A set of R packages to facilitate analysis of boreal caribou survival and recruitment data
R
published Published 11 months ago
BART-Survival: A Bayesian machine learning approach to survival analyses in Python
Python Jupyter Notebook
published Published 11 months ago
TorchSurv: A Lightweight Package for Deep Survival Analysis
Python R
published Published about 3 years ago
PyMSM: Python package for Competing Risks and Multi-State models for Survival Data
Python Jupyter Notebook
published Published about 5 years ago
StatAid: An R package with a graphical user interface for data analysis
R
published Published over 5 years ago
NEEP: null empirically estimated p-values for high-throughput molecular survival analysis
C++ C
published Published over 5 years ago
BayesMFSurv: An R Package to Estimate Bayesian Split-Population Survival Models With (and Without) Misclassified Failure Events
R C++
published Published almost 6 years ago

